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conference on VLSI Circuits and systems II

作者： Bojanic, S Jevtic, R Nieto-Taladriz, O Univ Politecn Madrid ETSIT E-28040 Madrid Spain

ISBN: (纸本)0819458325

information text data retrieval requires a tremendous amount of processing time because of the size of the data and the complexity of information retrieval algorithms. In this paper the solution to this problem is proposed via hardware supported information retrieval algorithms. Reconfigurable computing may adopt frequent hardware modifications through its tailorable hardware and exploits parallelism for a given application through reconfigurable and flexible hardware units. The degree of the parallelism can be tuned for data. In this work we implemented standard BLAS (basic linear algebra subprogram) sparse matrix algorithm named Compressed Sparse Row (CSR) that is showed to be more efficient in terms of storage space requirement and query-processing timing over the other sparse matrix algorithms for information retrieval application. Although inverted index algorithm is treated as the de facto standard for information retrieval for years, an alternative approach to store the index of text collection in a sparse matrix structure gains more attention. This approach performs query processing using sparse matrix-vector multiplication and due to parallelization achieves a substantial efficiency over the sequential inverted index. The parallel implementations of information retrieval kernel are presented in this work targeting the virtex 11 Field Programmable Gate Arrays (FPGAs) board from Xilinx. A recent development in scientific applications is the use of FPGA to achieve high performance results. Computational results are compared to implementations on other platforms. The design achieves a high level of parallelism for the overall function while retaining highly optimised hardware within processing unit.

关键词： FPGA information retrieval sparse matrix multiplication high performance computing CSR algorithm

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Sampling the parameter domain of image series

Sampling the parameter domain of image series

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conference on Image processing - algorithms and systems IV

作者： Heizmann, M Beyerer, J Fraunhofer IITB Inst Informat & Datenverarbeitung D-76131 Karlsruhe Germany

ISBN: (纸本)0819456454

While analyzing a scene of interest in real environments, the acquisition and evaluation of image series has proven to yield promising results in providing useful information. However. acquiring and evaluating image series imposes several difficulties on the imaging and analysis process: The amount of data to be processed increases significantly, especially when more thin one parameter is varied. Recording image series thus leads to a dilemma: Whereas a dense scanning of the varied parameter is desirable in order not. to lose any information of interest, the number of recorded images should be as small as possible to ensure both adequate acquisition time and manageable amount of data. This dilemma can be considered as a sampling issue of the parameter spaces of a variable image acquisition. In this contribution, the topic of optimally sampling the parameter spaces for image series is addressed from a practical point of view. Sampling conditions for several parameters to be varied are derived from physics and image formation models.

关键词： automated visual inspection image series image processing image fusion reflection models sampling theorem

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A video-based framework for the analysis of presentations/posters

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International Journal on Document Analysis and Recognition 2005年第2-3期7卷 178-187页

作者： Zandifar, A. Duraiswami, R. Davis, L.S. Perceptual Interfaces and Reality Lab. University of Maryland College Park MD 20742 United States

Detection and recognition of textual information in an image or video sequence is important for many applications. The increased resolution and capabilities of digital cameras and faster mobile processing allow for the development of interesting systems. We present an application based on the capture of information presented at a slide-show presentation or at a poster session. We describe the development of a system to process the textual and graphical information in such presentations. The application integrates video and image processing, document layout understanding, optical character recognition (OCR), and pattern recognition. The digital imaging device captures slides/poster images, and the computing module preprocesses and annotates the content. Various problems related to metric rectification, key-frame extraction, text detection, enhancement, and system integration are addressed. The results are promising for applications such as a mobile text reader for the visually impaired. By using powerful text-processing algorithms, we can extend this framework to other applications, e.g., document and conference archiving, camera-based semantics extraction, and ontology creation. © Springer-Verlag 2005.

关键词： image dilation systems Integration optical character recognition Frameworks texts videotapes Digital cameras region of an image images Mobile video sequences Pattern recognition image invariant

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An adaptive spectroellipsometric technology for the precise real-time measurements of the quality of natural and waste waters

An adaptive spectroellipsometric technology for the precise ...

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Joint 30th International conference on Infrared and Millimeter Waves/13th International conference on Terahertz Electronics

作者： Mkrtchyan, FA Krapivin, VF Kovalev, vi Klimov, VV Rukovishnikov, AI Golovachev, SP Russian Acad Sci Fryazino Branch Inst Radioengn & Elect Fryazino 141190 Moscow Region Russia

ISBN: (纸本)0780393481

Spectroellipsometry is a peak of polarization optics. The creation of multichannel polarization optical instrumentation and use of spectroellipsometric technology are very important for the real-time ecological control of aquatic environment. Spectroellipsometric devices give us high precision of measurements. Spectroellipsometric multichannel measurements in an aquatic environment provide an information basis for the application of modem algorithms for the recognition and identification of pollutants. New original elements (coaxial polarization switchers and achromatic compensators), developed in IRE RAS, allow to design cheap polarization systems (for example, spectroscopic ellipsometers, polarization spectrometers, polarimeters, dichrometers, polarization microscopes and interferometers, sensitive photometers, differential reflectometers) without expensive standard polarization elements. Principal possibility exists of use of optical and infrared bands with wavelength up to 20 Me for studies of properties of superthin coatings, films and different structures at it's base.

关键词： Water quality

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Performance metric for multi-aperture computational imaging sensor

Performance metric for multi-aperture computational imaging ...

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Computational optical Sensing and Imaging, COSI 2005

作者： Bhakta, vikrant Christensen, Marc P. Rajan, Dinesh Department of Electrical Engineering Southern Methodist University 6251 Airline Road Dallas TX 75275-0338 United States

Determining the effective MTF, SNR and Sensor geometries of multi-aperture computational imaging architectures will allow the National Image Interpretability Rating Scale to be applied to computational imagers. An app... 详细信息

ISBN: (纸本)155752789X

关键词： Computational imaging Image processing algorithms Image reconstruction Image sensors optical transfer functions Reconstruction algorithms Imaging systems (110.0110) Modulation transfer function (110.4100) Multiple imaging (110.4190)

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Proceedings of SPIE: visual information processing XIV

Proceedings of SPIE: Visual Information Processing XIV

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visual information processing XIV

The proceedings contain 35 papers from the conference on visual information processing XIV. The topics discussed include: multiframe image restoration with the 2D4 algorithm;minimum reconstruction error in feature-specific imaging;cubic convolution for super-resolution from microscanned images;a boosting algorithm for texture classification and object detection;analysis tools for computational imaging systems;design methodology for optimal hardware implementation of wavelet transform domain algorithms;detection changes in terrain using unmanned aerial vehicles;and visual enhancement of micro CT bone density images.

关键词： Data processing

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Design and performance of the civil air patrol ARCHER hyperspectral processing system

Design and performance of the civil air patrol ARCHER hypers...

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conference on algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XI

作者： Stevenson, B O'Connor, R Kendall, W Stocker, A Schaff, W Alexa, D Salvador, J Eismann, M Barnard, K Kershenstein, J Space Computer Corp. (United States) Civil Air Patrol (United States) Air Force Research Lab. (United States) Naval Research Lab. (United States)

ISBN: (纸本)0819457914

The Civil Air Patrol (CAP) is procuring Airborne Real-time Cueing Hyperspectral Enhanced Reconnaissance (ARCHER) systems to increase their search-and-rescue mission capability. These systems are being installed on a fleet of Gippsland GA-8 aircraft, and will position CAP to gain real-world mission experience with the application of hyperspectral sensor and processing technology to search and rescue. The ARCHER system design, data processing, and operational concept leverage several years of investment in hyperspectral technology research and airborne system demonstration programs by the Naval Research Laboratory (NRL) and Air Force Research Laboratory (AFRL). Each ARCHER system consists of a NovaSol-designed, pushbroom, visible/near-infrared (VNIR) hyperspectral imaging (HSI) sensor, a co-boresighted visible panchromatic high-resolution imaging (HRI) sensor, and a CMIGITS-III GPS/INS unit in an integrated sensor assembly mounted inside the GA8 cabin. ARCHER incorporates an on-board data processing system developed by Space Computer Corporation (SCC) to perform numerous real-time processing functions including data acquisition and recording, raw data correction, target detection, cueing and chipping, precision image geo-registration, and display and dissemination of image products and target cue information. A ground processing station is provided for post-flight data playback and analysis. This paper describes the requirements and architecture of the ARCHER system, with emphasis on data processor design, components, software, interfaces, and displays. Key sensor performance characteristics and real-time data processing features are discussed. The use of the system for detecting and geo-locating ground targets in real-time is demonstrated using test data collected in Southern California in the fall of 2004.

关键词： Sensors Target detection Image processing Cameras Data processing Image sensors Imaging systems Data acquisition Detection and tracking algorithms Hyperspectral imaging

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Eddy current sensor signal processing for stall detection

Eddy current sensor signal processing for stall detection

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2005 IEEE Aerospace conference

作者： Teolis, Carole Gent, David Kim, Christine Teolis, Anthony Paduano, James Bright, Michelle Techno Sci Inc Lanham MD 20706 USA

ISBN: (纸本)0780388690

This paper(12) presents algorithms that use data from eddy current sensors mounted in the engine casing for the purpose of gas turbine engine stability monitoring. The focus of this paper is stall detection. Development of a system to detect and compensate for potentially catastrophic engine failures and instability is the primary objective of this work. A motivating objective of our engine work in general has been the development of mathematically well-founded and efficient signal processing algorithms to perform gas turbine engine blade diagnostics and high cycle fatigue prognosis using a minimal number of blade tip monitoring sensors. Our work to date has focused on the General Dynamics eddy current sensor (ECS). Our ultimate goal is to extend the functionality of the ECS system beyond diagnostics to active and automatic real-time control of gas turbine engines. Blade tip sensors such as eddy current, capacitive and optical have been being used for some time now in test stand applications to detect engine faults. It has been demonstrated that they are capable of measuring tip clearance, foreign object damage (FOD), blade vibration, and stall/surge. Much of the data analysis for these methods has been performed off line;however, rapid progress is being made toward the goal of real-time detection for use in onboard flight systems. To date, most signal processing techniques using blade tip sensors have been limited to simple parametric measurements associated with the sensor waveform, e.g., measurement of zero crossing locations for time of arrival information or maxima for tip clearance information. Using this type of parametric information, many computations require more than one sensor per stage. The use of a minimal number of sensors is an extremely important practical consideration since each pound that is added to an aircraft engine adds considerable costs over the life cycle of the engine. Because of this we have focused on developing algorithms that allow th

关键词： Gas turbines

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Generalization error bounds for aggregation by mirror descent with averaging

Generalization error bounds for aggregation by mirror descen...

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2005 Annual conference on Neural information processing systems, NIPS 2005

作者： Juditsky, Anatoli Nazin, Alexander Tsybakov, Alexandre Vayatis, Nicolas Laboratoire de Modélisation et Calcul Université Grenoble i B.P. 53 38041 Grenoble France Institute of Control Sciences Russian Academy of Science 65 Profsoyuznaya str. GSP-7 Moscow 117997 Russia Laboratoire de Probabilités et Modèles Aléatoires Université Paris VI 4 place Jussieu 75252 Paris Cedex France

ISBN: (纸本)9780262232531

We consider the problem of constructing an aggregated estimator from a finite class of base functions which approximately minimizes a convex risk functional under the 1 constraint. For this purpose, we propose a stochastic procedure, the mirror descent, which performs gradient descent in the dual space. The generated estimates are additionally averaged in a recursive fashion with specific weights. Mirror descent algorithms have been developed in different contexts and they are known to be particularly efficient in high dimensional problems. Moreover their implementation is adapted to the online setting. The main result of the paper is the upper bound on the convergence rate for the generalization error.

关键词： Mirrors

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Cross-layer flooding for sensor networks without location information

Cross-layer flooding for sensor networks without location in...

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2nd IEEE International conference on Mobile Ad-hoc and Sensor systems, MASS 2005

作者： Ghiassi-Farrokhfal, Yashar Pakravan, M.R. Optical Networks and Data Communication Lab. Sharif University of Technology Tehran Iran

ISBN: (纸本)0780394666

Flooding algorithm is one of the most significant algorithms used in sensor networks. Although simple, this algorithm causes a large amount of energy and bandwidth to be wasted. The most important application of flooding is RREQ flooding in initial step of most routing algorithms. Although simple, this algorithm causes a large amount of energy and bandwidth to be wasted. Most previous efficient flooding algorithms use location information which is impossible for simple node in sensor network. Some others are not suitable for RREQ flooding due to eliminating redundant retransmissions. We present a modified flooding that simultaneously decreases energy consumption as well as network delay. This flooding algorithm is a form of cross layer algorithm which uses physical layer information to be more efficient in time and energy. It is shown that the proposed algorithm can save a significant amount of energy while reducing the settling time delay. © 2005 IEEE.

关键词： Networks (circuits)

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